Triple

T21639484
Position Surface form Disambiguated ID Type / Status
Subject 仙洞御所 E534051 entity
Predicate near P350 FINISHED
Object 烏丸通
烏丸通 is a major north–south thoroughfare in central Kyoto, Japan, known for running through key business districts and historic areas of the city.
E1493875 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 烏丸通 | Statement: [仙洞御所, near, 烏丸通]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 烏丸通
Context triple: [仙洞御所, near, 烏丸通]
  • A. 内藤多仲
    内藤多仲 was a pioneering Japanese structural engineer renowned as the “father of Japanese skyscrapers” for designing many of the country’s early high-rise and tower structures, including several iconic broadcasting towers.
  • B. 佐藤義清
    佐藤義清は、平安時代末期に出家して「西行」と号し、多くの優れた和歌を残した日本の歌人・僧侶である。
  • C. 大隈重信
    大隈重信は、立憲政友会と並ぶ政党である立憲改進党・立憲同志会などを率い、日本の近代政党政治と早稲田大学の創設に大きな役割を果たした政治家・教育者である。
  • D. 斎藤
    斎藤 is a common Japanese surname typically written with the kanji characters 斎 and 藤.
  • E. 野津道貫
    野津道貫 was a prominent Meiji-era Japanese army general who played key roles in the First Sino-Japanese War and the Russo-Japanese War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 烏丸通
Triple: [仙洞御所, near, 烏丸通]
Generated description
烏丸通 is a major north–south thoroughfare in central Kyoto, Japan, known for running through key business districts and historic areas of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 烏丸通
Target entity description: 烏丸通 is a major north–south thoroughfare in central Kyoto, Japan, known for running through key business districts and historic areas of the city.
  • A. 内藤多仲
    内藤多仲 was a pioneering Japanese structural engineer renowned as the “father of Japanese skyscrapers” for designing many of the country’s early high-rise and tower structures, including several iconic broadcasting towers.
  • B. 佐藤義清
    佐藤義清は、平安時代末期に出家して「西行」と号し、多くの優れた和歌を残した日本の歌人・僧侶である。
  • C. 大隈重信
    大隈重信は、立憲政友会と並ぶ政党である立憲改進党・立憲同志会などを率い、日本の近代政党政治と早稲田大学の創設に大きな役割を果たした政治家・教育者である。
  • D. 斎藤
    斎藤 is a common Japanese surname typically written with the kanji characters 斎 and 藤.
  • E. 野津道貫
    野津道貫 was a prominent Meiji-era Japanese army general who played key roles in the First Sino-Japanese War and the Russo-Japanese War.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5390ba7481908f58230779e5b7bb completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa04cd481909a9a9d7420646e00 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10d3dd8081909f2370db4a3cb527 completed May 17, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1143621881908af17d96a1759f9a completed May 17, 2026, 7:04 p.m.
Created at: April 16, 2026, 6:35 p.m.